How to Develop a Data Strategy for Analytics

Presented by

Erik Ottem, Senior Director, Data Center Systems

About this talk

It’s hard work to uncover real business results through analytics. It's common that you spend more time curating data than improving your algorithms. When diving into analytics for business value, you have to roll up your sleeves and prepare to put in the work. A data strategy for analytics may include finding real data sets from many sources that can be used in training your machine as quickly and effectively as possible, but one thing is imperative, the scalability and manageability of data is critical to the success of your analytics project. In this webinar you’ll learn: >Why an analytics strategy is paramount in driving business results >Questions you should ask before building a strategy for analytics >How to identify the different data needs for typical analytic workloads
Western Digital Corporation

Western Digital Corporation

32022 subscribers119 talks
Trends and best-practices for data at scale
For decades, Western Digital has shaped the future of data storage, powering everything from the rise of cloud computing to today’s AI-driven workloads. With groundbreaking advancements such as HelioSeal®, OptiNAND™, and SMR technology, our storage leadership has made us the trusted partner for enterprises seeking to turn data into long-term value.
Related topics